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the Biological, Environmental and Planetary Science Division. Advance the frontiers of structural biology by developing AI-driven methods for interpreting complex crystallographic data. This role will enable new
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, Environmental and Planetary Science Division. The aim of the position is to advance the frontiers of structural biology by developing AI-driven methods for improving crystal quality at scale. This role will
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of matter; and quantum information theory as it relates to condensed matter problems. Candidates with either (or both) analytical and numerical expertise are encouraged to apply. Essential Duties and
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. *Numerical expertise with classical simulations of quantum circuits, including tensor-network based approaches. Application Instructions: Candidates are required to submit a Resume or CV and a Research